Nick Clemens
f983c1e3f7
To test:
1 - Do some authority searches in Zebra
2 - Switch to ES and repeat, results will vary and some may fail
3 - Apply patch and dependencies
4 - Reindex ES
5 - Repeat searches, they should suceed and results should be similar to
Zebra
6 - Slight differences are okay, but results should (mostly) meet
expectations
A few notes:
We add a 'normalizer' to ensure we get a single token from the heading
indexes, this makes 'starts with' work as expcted
We switch to 'AND' for fields searched from cataloging editor - this
matches Zebra results
We force the '__sort' fields for sorting - if sorting looks wrong try
reducing the heading field to a single subfield - this will need to be
addressed on a future bug (multiple subfields create an array, ES sorts
those randomly)
Signed-off-by: Nicolas Legrand <nicolas.legrand@bulac.fr>
Signed-off-by: Katrin Fischer <katrin.fischer.83@web.de>
Signed-off-by: Nick Clemens <nick@bywatersolutions.com>
37 lines
1.1 KiB
YAML
37 lines
1.1 KiB
YAML
---
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# Index configuration that defines how different analyzers work.
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index:
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analysis:
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analyzer:
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# Phrase analyzer is used for phrases (phrase match, sorting)
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analyser_phrase:
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tokenizer: keyword
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filter:
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- icu_folding
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char_filter:
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- punctuation
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analyser_standard:
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tokenizer: icu_tokenizer
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filter:
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- icu_folding
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analyser_stdno:
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tokenizer: whitespace
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filter:
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- icu_folding
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char_filter:
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- punctuation
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normalizer:
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normalizer_keyword:
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type: custom
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filter:
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- icu_folding
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my_normalizer:
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type: custom
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char_filter: icu_normalizer
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char_filter:
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# The punctuation filter is used to remove any punctuation chars in fields that don't use icu_tokenizer.
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punctuation:
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type: pattern_replace
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# The pattern contains all ASCII punctuation characters.
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pattern: '([\x00-\x1F,\x21-\x2F,\x3A-\x40,\x5B-\x60,\x7B-\x89,\x8B,\x8D,\x8F,\x90-\x99,\x9B,\x9D,\xA0-\xBF,\xD7,\xF7])'
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replacement: ''
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